Hand tremor detection method and system based on EMD-SVD feature extraction

Abstract

The invention discloses a hand tremor detection method and system based on EMD-SVD feature extraction, relates to the technical field of machine learning, and is used for solving the problem that an existing hand tremor detection system cannot quickly and accurately perform effective classification on collected hand data. According to the technical key points, the method comprises the following steps: collecting a time sequence of hand data by using a hand tremor detection device, carrying out signal processing based on an EMD method to obtain an intrinsic mode function in the time sequence, extracting singular values in an intrinsic mode function matrix by using an SVD method to obtain effective features of the hand tremor data, obtaining the effective features of the hand tremor data, and finally, constructing a multi-classification strategy through an SVM classifier, classifying the features, and then the purpose of hand tremor detection is achieved. The method can be applied to clinical medical treatment to judge whether the hands of the patient have tremor.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a hand tremor detection method and system based on EMD-SVD feature extraction. Background technique [0002] Hand tremor can be seen in a variety of nervous system diseases, such as essential tremor, Parkinson's disease, hepatolenticular degeneration, dystonic tremor, peripheral neuropathic tremor, cerebellar tremor and other diseases. The frequency and amplitude of tremors are mostly different in different diseases. For example, the frequency of essential tremor is usually 8-10 Hz, while the frequency of tremor in Parkinson's disease is usually 4-6 Hz. In recent years, electromyography can be used to objectively evaluate the frequency and amplitude of tremor, but this examination is invasive to a certain extent, and there is an urgent need to develop non-invasive tremor detection methods. [0003] The existing tremor detection methods are mainly based on special detect...

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Problems solved by technology

[0005] In view of the above problems, the present invention proposes a hand tremor detection method and system based on EMD-SVD feature extraction to solve the problem that the existing hand tremor detection system cannot effectively classify the collected hand data quickly and accurately. question

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